City Intelligent Transport Query System

With the development of society, city traffic construction change rapidly and the improvement of people’s material level cause people to trade and travel between different city is becoming more frequent, public transportation is an important part of city social and economic activities, it is the vast majority of travelers preferred way. So for people not familiar with the city traffic requires a real-time traffic information system to provide the required to meet the travel needs.According to the intelligent degree of the system is insufficient, can not meet the requirements of city traffic network changes, not easy to understand the situation, not easy to go out route disadvantages of users etc. By improving the system query, result display, timeliness, the mobile phone user experience to provide a convenient, fast, economic, efficient query plan.Intelligent transport system in the design is divided into WEB and Android terminal, the main function includes route query, query, map view, real-time traffic information, route map, share,3D street view maps, push service etc.. WEB-end system using J2EE architecture programs to ensure the system has good stability. According to the basic idea of J2EE layered design, the application is divided into three layers, through the interface between the layers communicate, reduce the dependence relation between layer and layer, to ensure that the system has good scalability. Between the presentation layer and business logic layer, the MVC framework, the system’s display logic and core business logic will separate, ensure the system flexibility. Using Hibernate technology can shield applications and database interaction details, can greatly reduce the operation of the database workload. In the Android client systems, Activity through the View to manage UI, View draw UI, and handle UI event, View is defined through layout.xml to describe. Android client systems in addition to having the necessary capabilities, as well as camera positioning, application of SIFT algorithm on buildings photo image recognition, in order to determine the position of the object.